code: def __init__(self, name, mode, metrics_args):
      self.name = name
      self.mode = mode
      self.num_classes = metrics_args["MODEL"]["num_classes"]
      self.topk = metrics_args["MODEL"]["topk"]
      self.threshold = metrics_args["MODEL"]["threshold"]
  
      self.calculator = youtube8m_metrics.EvaluationMetrics(
          self.num_classes, self.topk
      )
      if self.mode == "infer":
          self.infer_results = []
  
imports: from __future__ import absolute_import
  from __future__ import unicode_literals
  from __future__ import print_function
  from __future__ import division
  import io
  import logging
  import numpy
  from videotag_tsn_lstm.resource.metrics.youtube8m import eval_util
label_desc: Use image node_id 1 to create a new Youtube8mMetrics object from inherited base classes: Metrics with example: obj = Youtube8mMetrics(name, mode, metrics_args)